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Quantitative, SPSS, and Statistics Support
Quantitative data analysis appointments allow doctoral students working on their project study or dissertation to have one-on-one sessions with a quantitative methodologist. Students may ask any questions pertaining to data analysis. The quantitative methodologists provide assistance in data analysis, SPSS or interpretation of results for reporting purposes.
If you have questions concerning research (RSCH) course concepts or assignments, please contact the Academic Skills Center for course tutoring: https://academicguides.waldenu.edu/academic-skills-center/tutors
Appointments are held in Zoom. Weekly slots are limited. Please make only one appointment a week so that other students also have a chance to make timely appointments. If you need more than one appointment, you are welcome to make one for another week.
Contact us at ordscapstonestatistics@mail.waldenu.edu with any questions.
Can’t find a time that works? Please complete this appointment request form and a team member will contact you within 24-48 hours to assist you with scheduling an appointment.
Office of Research and Doctoral Services (ORDS) SPSS Seminars/Resources
Dr. Reggie Taylor, Office of Research and Doctoral Services, conducts live SPSS and quantitative seminars to address a wide variety of quantitative topics aimed to support doctoral progress. Each seminar can be used as a stand-alone, on-demand resource to support students in their quantitative journey.
Please check this page periodically to identify newly added and upcoming seminars.
Upcoming Seminars (Registration Required)
What: ORDS Quantitative Seminar: Multiple Regression
When: Wednesday, 24 April 2024, 6:00 PM (CST); 7:00 PM (EST)
Registration Required: https://zoom.us/meeting/register/tJ0udOioqDosHNNfO4uok2wb8ANjh11rR2r0
Description: Multiple regression is an extension of bivariate regression. Where bivariate regression is used to predict the value of a continuous outcome variable from “one" scale predictor variable, multiple regression is a parametric statistical test appropriate for predicting the value of a continuous outcome variable from "more than one" predictor variable.
In this session, Dr. Taylor will discuss the concepts and applications of the multiple regression test. Precisely, an example research question and null and alternative hypotheses will be addressed. Dr. Taylor will show how to accomplish the multiple regression test using SPSS (Mac version 29), interpret SPSS output, and create APA-compliant results including relevant statistics (e.g., p-value, effect size, confidence intervals, etc.) and appropriate graphs and figures; an exemplar will be provided! The on-demand recording will be available within 24 hours at https://www.youtube.com/channel/UCisXNNzXryVaDWeqimMGiJg
Note: It is highly recommended the attendee review the bivariate regression seminar before attending this session:https://youtu.be/qeikVoKTTsg?si=yKLsYJQomSu5mo56
What: ORDS Quantitative Seminar: Pearson Product Moment Correlation
When: Tuesday, 16 April 2024 – 6:00 p.m. CST; 7:00 p.m. EST.
Registration Required: https://zoom.us/meeting/register/tJAqcOmspzkvGt0lF20chHOjPjjtH2pJq_Vi
Description: The (PPMC) test is used to determine whether there is a statistically significant relationship between two continuous (interval or ratio) variables. In this session, Dr. Taylor will discuss the concepts and applications of the PPMC test. Precisely, an example research question and null and alternative hypotheses will be addressed. Dr. Taylor will show how to accomplish the PPMC test using SPSS (Mac version 29), interpret SPSS output, and create APA-compliant results including relevant statistics (e.g., p-value, effect size, confidence intervals, etc.) and appropriate graphs and figures; an exemplar will be provided! The on-demand recording will be available within 24 hours at https://www.youtube.com/channel/UCisXNNzXryVaDWeqimMGiJg.
What: ORDS Quantitative Seminar: Bivariate Regression
When: Wednesday, 17 April 2024 – 6:00 p.m. CST; 7:00 p.m. EST
Registration Required: https://zoom.us/meeting/register/tJAqcOmspzkvGt0lF20chHOjPjjtH2pJq_Vi
Description: Bivariate regression is a parametric statistical test appropriate for predicting the value of a continuous outcome variable from another continuous predictor variable. In this session, Dr. Taylor will discuss the concepts and applications of the bivariate regression test. Precisely, an example research question and null and alternative hypotheses will be addressed. Dr. Taylor will show how to accomplish the bivariate regression test using SPSS (Mac version 29), interpret SPSS output, and create APA-compliant results including relevant statistics (e.g., p-value, effect size, confidence intervals, etc.) and appropriate graphs and figures; an exemplar will be provided! The on-demand recording will be available within 24 hours at https://www.youtube.com/channel/UCisXNNzXryVaDWeqimMGiJg.
On-Demand Quantitative Seminars Recordings
- Confidence Intervals12 March 2024
- Descriptive Statistics11 March 2024
- Visual Displays of Data6 March 2024
- Introduction to SPSS and Scales of Measurement28 February 2024
- Binomial Logistic Regression31 January 2024
- Hierarchical Linear Regression30 January 2024
- Bivariate Regression17 January 2024
- Intermediate SPSS I10 May 2023
- Hierarchical Linear Regression3 May 2023
- Meta-Analysis26 April 2023
- McNemar Test19 April 2023
- Repeated Measures T-Test12 April 2023
- Instrumentation/Scales/Measurement29 March 2023
- Quantitative Secondary Data Analysis15 March 2023
- Binary Logistic Regression2 March 2023
- One-way MANOVA/MANCOVA24 January 2023
- Designing Robust Research Questions4 January 2023
- Basic SPSS Workshop7 September 2022
- Descriptive Statistics14 September 2022
- Normal Distribution/Confidence Interval19 September 2022
- Multiple Linear Regression26 October 2022
- Multiple Linear Regression w/Dummy Coding1 November 2022
- Chi-Square Test8 November 2022
- The Role of Theory in Quantitative Research13 June 2019
- Scales of Measurement27 February 2014
- Quantitative Secondary Data Analysis11 June 2020
SPSS
SPSS is a software package that provides students with statistical analysis, modeling, predictive, and survey research tools used in many of our courses and advanced research activities. Walden is pleased to be able to offer this important resource free of charge for the duration of your program.
If you are currently using SPSS software supplied by Walden University, you will need to enter an updated access code on or before March 31, 2025. As of March 31, 2024, your existing license will expire and you will not be able to use the program. Click here to read the instructions for updating an expired license. The codes will be valid until March 31, 2025.
Updating an Expired IBM SPSS License
If you have an older version of SPSS (v.27 or v.28) already installed and choose not to upgrade to v29, you may continue to use it. Just follow these instructions to update your license:
Which version of SPSS do I need?
Walden is pleased to offer SPSS version 29 this year. SPSS version 29 is supported on the following operating systems:
- Windows 11
- Windows 10
- Windows 8
- Windows 7
- OS Somona 13.0
- OS Monterey 12.0
- OS Big Sur 11.0
- OS Catalina 10.15
- OS Mojave 10.14
Instructions for Installing and Registering IBM SPSS Software
- IBM SPSS version 29 Installation and Registration (Mac)
- IBM SPSS version 29 Installation and Registration (PC/Windows)
If you have any questions about this change or need assistance downloading SPSS, please contact Walden’s Customer Care Team from your myWalden portal by choosing the Support tab and clicking “Click to Chat.” You can also call 1-800-WALDENU (925-3368). Please include your name, student ID number, and degree program with any correspondence.
SPSS and Statistics Resources
Academic Skills Center YouTube Playlists
Academic Skills Center Statistics Resources
Meet the SPSS and Statistics Tutors
Arfe Ozcan
Statistics Tutor
Dr. Ozcan have been involved with education at multiple levels, throughout K-12 and higher education, teaching classes and leading various research projects. After receiving her Ph.D. from The University of Texas at Austin, Dr. Ozcan have taught research methodology courses and conducted assessment and program evaluation studies with higher education institutions as well as school districts and various state agencies. She serves as a statistics tutor at the Office of Research and Doctoral Services.
Reggie Taylor
Statistics Tutor
Dr. Taylor started with Walden in 2007 in the School of Psychology as a contributing faculty. He transitioned to the Doctor of Business Administration program in 2013 as a Program Coordinator. Dr. Taylor joined the Office of Research and Doctoral Services in 2019. In his role in ORDS, Reggie provides methodology and statistics support, one-on-one statistics and SPSS tutoring support. He is also responsible for expanding these tutoring and methods advising services to address broader student research support needs at the doctoral capstone stage.
Sunny Liu, PhD
Statistics Tutor
Dr. Liu has taught research methods and statistics courses for several years. Her research interests include longitudinal data analysis, secondary data, and advanced statistical modeling. She serves as a statistics tutor at the Office of Research and Doctoral Services.
Zin Htway, PhD
Statistics Tutor
Zin Htway, PhD, MBA, teaches or has taught statistical methods in computational biology; advanced immunology; epidemiology and environment; cancer and society; sex, germs, and diseases; and quantitative methods for biology. Dr. Htway has worked as a researcher in community-based research settings in a variety of areas, including avian influenza detection and diabetes among Hispanic populations, and has served as principle investigator or methodology/statistics expert in many of those projects. Dr. Htway earned his PhD in public health and epidemiology from Walden University in Minneapolis, Minnesota.